Xiting Yan, PhD

Assistant Professor of Medicine (Pulmonary)

Departments & Organizations

Biography

Dr. Yan received doctoral degrees in both applied statistics and computational biology and bioinformatics. She is interested in genetics, genomics, computational biology, biostatistics, system biology and bioinformatics. Her current research topics include identifying disease heterogeneity and pathogenesis at the molecular level, data integration, identifying disease associated microbiome from longitudinal data, and survival data analysis.

Education & Training

PhD

University of Southern California (2009)

PhD

Peking University (2006)

BS

Department of Probablity and Statistics, School of Mathematical Sciences, Peking University (2001)

Postdoctoral Associate

Yale School of Medicine

Honors & Recognition

The YCCI Scholar Award, Yale University School of MedicineYale Center for Clinical Investigation (2014)

Contact Info

B). Heatmap showing the clustering results by KEGG pathways using MCLUST. The color represents the clustering assignment of each sample by the KEGG pathways. C). Pathway based distance matrix among the clusters. The color of entry represents the pathway based distance between the corresponding two samples. Red represents a small distance (samples are strongly related) and white represents longer distance showing the strength of the clusters (samples are weakly related). Samples within TEA cluster 3 are the most strongly related and most homogeneous, followed by cluster 1 and 2, respectively.

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